* message bus adds too much overhead.
 */
public abstract class KotlinModificationTrackerFactory : KotlinPlatformComponent {
    /**
     * Creates an out-of-block modification tracker which is incremented every time there is an out-of-block change in some source project
     * module.
     *
     * ### Out-of-block Modification (OOBM)
     *

// incremented when a SavedModel has been successfully written.
monitoring::CounterCell& SavedModelWriteCount(absl::string_view write_version);

// Returns "/tensorflow/core/saved_model/read/count" cell. This metric
// has 1 field "write_version", which is equal to the
// `tensorflow::libexport::GetWriteVersion` of the protobuf, and should be
// incremented when a SavedModel has been successfully read.

  + g.util.grid.makeGrid([
    row.new('Push Information')
    + row.withPanels([
      panels.timeSeries.xdsPushes(
        'XDS Pushes', queries.xdsPushes, |||
          Rate of XDS push operations, by type. This is incremented on a per-proxy basis.
        |||
      ),
      panels.timeSeries.base(
        'Events', queries.pilotEvents, |||
          Size of each xDS push.
        |||
      ),
      panels.timeSeries.base(

// info, the "flag:"+flagName counter will be incremented.
//
// CountCommandLineFlags must be called after flags are parsed
// with flag.Parse.
//
// For instance, if the -S flag is passed to cmd/compile and
// CountCommandLineFlags is called after flags are parsed,
// the "compile/flag:S" counter will be incremented.
func CountCommandLineFlags() {
	prefix := "flag:"

  After a timeout configured by `PILOT_REMOTE_CLUSTER_TIMEOUT` (default 30s), istiod will become ready without

			panic(e)
		}
		metrics.Read(s)
		v2 := s[0].Value.Uint64()
		if want == nil {
			if v2 != v1+1 {
				t.Errorf("recover() with panicnil=1 did not increment metric %s", name)
			}
		} else {
			if v2 != v1 {
				t.Errorf("recover() with panicnil=0 incremented metric %s: %d -> %d", name, v1, v2)
			}
		}
	}()
	panic(nil)

//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//
// The test code can then read and test the value of that counter:
//
// auto* reader = TFE_MonitoringNewCounterReader("name");
// test();

        given:
        def client = client(workerDaemonProcess)

        when:
        client.execute(spec())

        then:
        1 * workerDaemonProcess.run(_)
    }

    def "use count is incremented when client is executed"() {
        given:
        def client = client()
        assert client.uses == 0

        when:
        5.times { client.execute(spec()) }

        then:
        client.uses == 5

    checkArgument(autoIncrementStep >= 0, "May not auto-increment by a negative amount");
    this.autoIncrementStepNanos = timeUnit.toNanos(autoIncrementStep);
    return this;
  }

  /**
   * Sets the increment applied to the ticker whenever it is queried.
   *
   * <p>The default behavior is to auto increment by zero. i.e: The ticker is left unchanged when
   * queried.
   *
   * @since 28.0

  };

  // Returns std::nullopt if value for the supplied key is not found. If a value
  // is found, `request_count` is incremented before returning the value.
  std::optional<Value> Lookup(const Key& key) const;

  // Inserts an empty value if value is not found and returns it. If a value is
  // found, `request_count` is incremented before returning the value.
  Value LookupOrCreate(const Key& key);